The UCL Institute of Health Informatics together with the Farr Institute London invites applications for a Research Associate in Data Science. This position will carry out the analysis of electronic health records in order to improve our understanding of ophthalmic disease. The post is funded for 1 year in the first instance. The primary focus of the Research Associate in Data Science is to carry out statistical analyses of electronic health records as part of the UK EMR Medical Retina Collaboration. Working collaboratively with clinicians at Moorfields Eye Hospital and academic colleagues at the University of Washington, Seattle and Radboud University, Nijmegen. The project will lead to new insights into the development of disease, the impact of treatments and the relationship between eye disease and chronic conditions.

The appointee will design, conduct and present analyses leading to peer reviewed publications using linked electronic health record data working collaboratively with clinicians, and inter-disciplinary research teams. The appointee will lead the analysis is a range of topic areas including relating image analysis results to secondary care data, linking primary and secondary care data and exploring hypotheses about the relationship between chronic diseases and eye health. The appointee will use the electronic datasets to develop and test hypotheses linking data about treatments with data on the development of disease and side effects and about the relationship between systemic disease and ophthalmic conditions.

The appointee will have a strong methodological background in one or more relevant disciplines including: computer science, medical statistics and medical research. The appointee should have a PhD or substantial relevant research experience and strong practical experience of analytical methods and the implementation of epidemiological study designs in electronic health record datasets.

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below. If you are having difficulty accessing the on-line recruitment system please contact Denise Beales ( d.beales@ucl.ac.uk ) for advice.